Trust Assessment
kafka-architect received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Untrusted content attempts to manipulate LLM output generation.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Untrusted content attempts to manipulate LLM output generation The skill's untrusted `SKILL.md` body contains instructions ('generate output incrementally', 'ask the user which component to design next') that attempt to dictate the host LLM's behavior and output format. This is a prompt injection attempt, as untrusted input should not issue commands to the LLM. Remove all instructions intended for the host LLM from within the untrusted content delimiters. The LLM's behavior should be controlled by trusted system prompts, not by untrusted skill descriptions. | LLM | SKILL.md:7 |
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